This pioneer project on MMA aims to collect a multidimensional bio-molecular dataset from patient cells and relate it back to the clinical and biochemical information of each patient in order to identify common and patient-specific disease mechanisms. Using hundreds of patient fibroblast samples collected over several decades, we will compare the results of whole genome sequencing, RNA sequencing, and large scale proteomics for each patient, as well metabolomics from representative patients, with their respective clinical and biochemical information taken at diagnosis. Integration of these data layers and comparison against non-affected controls will be used to find key differences caused by the disease.